design-critique

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill design-critique
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summary

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

skill.md

/design-critique

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Get structured design feedback across multiple dimensions.

Usage

/design-critique $ARGUMENTS

Review the design: @$1

If a Figma URL is provided, pull the design from Figma. If a file is referenced, read it. Otherwise, ask the user to describe or share their design.

What I Need From You

  • The design: Figma URL, screenshot, or detailed description
  • Context: What is this? Who is it for? What stage (exploration, refinement, final)?
  • Focus (optional): "Focus on mobile" or "Focus on the onboarding flow"

Critique Framework

1. First Impression (2 seconds)

  • What draws the eye first? Is that correct?
  • What's the emotional reaction?
  • Is the purpose immediately clear?

2. Usability

  • Can the user accomplish their goal?
  • Is the navigation intuitive?
  • Are interactive elements obvious?
  • Are there unnecessary steps?

3. Visual Hierarchy

  • Is there a clear reading order?
  • Are the right elements emphasized?
  • Is whitespace used effectively?
  • Is typography creating the right hierarchy?

4. Consistency

  • Does it follow the design system?
  • Are spacing, colors, and typography consistent?
  • Do similar elements behave similarly?

5. Accessibility

  • Color contrast ratios
  • Touch target sizes
  • Text readability
  • Alternative text for images

How to Give Feedback

  • Be specific: "The CTA competes with the navigation" not "the layout is confusing"
  • Explain why: Connect feedback to design principles or user needs
  • Suggest alternatives: Don't just identify problems, propose solutions
  • Acknowledge what works: Good feedback includes positive observations
  • Match the stage: Early exploration gets different feedback than final polish

Output

## Design Critique: [Design Name]

### Overall Impression
[1-2 sentence first reaction — what works, what's the biggest opportunity]

### Usability
| Finding | Severity | Recommendation |
|---------|----------|----------------|
| [Issue] | 🔴 Critical / 🟡 Moderate / 🟢 Minor | [Fix] |

### Visual Hierarchy
- **What draws the eye first**: [Element] — [Is this correct?]
- **Reading flow**: [How does the eye move through the layout?]
- **Emphasis**: [Are the right things emphasized?]

### Consistency
| Element | Issue | Recommendation |
|---------|-------|----------------|
| [Typography/spacing/color] | [Inconsistency] | [Fix] |

### Accessibility
- **Color contrast**: [Pass/fail for key text]
- **Touch targets**: [Adequate size?]
- **Text readability**: [Font size, line height]

### What Works Well
- [Positive observation 1]
- [Positive observation 2]

### Priority Recommendations
1. **[Most impactful change]** — [Why and how]
2. **[Second priority]** — [Why and how]
3. **[Third priority]** — [Why and how]

If Connectors Available

If ~~design tool is connected:

  • Pull the design directly from Figma and inspect components, tokens, and layers
  • Compare against the existing design system for consistency

If ~~user feedback is connected:

  • Cross-reference design decisions with recent user feedback and support tickets

Tips

  1. Share the context — "This is a checkout flow for a B2B SaaS" helps me give relevant feedback.
  2. Specify your stage — Early exploration gets different feedback than final polish.
  3. Ask me to focus — "Just look at the navigation" gives you more depth on one area.
how to use design-critique

How to use design-critique on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add design-critique
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill design-critique

The skills CLI fetches design-critique from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/design-critique

Reload or restart Cursor to activate design-critique. Access the skill through slash commands (e.g., /design-critique) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.537 reviews
  • Hana Chen· Dec 24, 2024

    Registry listing for design-critique matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Maya Liu· Dec 24, 2024

    Solid pick for teams standardizing on skills: design-critique is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Dec 20, 2024

    Solid pick for teams standardizing on skills: design-critique is focused, and the summary matches what you get after install.

  • Hana Yang· Dec 4, 2024

    I recommend design-critique for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sophia Sharma· Nov 23, 2024

    design-critique is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kabir Huang· Nov 23, 2024

    design-critique reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sophia Harris· Nov 15, 2024

    Useful defaults in design-critique — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kiara Haddad· Nov 15, 2024

    We added design-critique from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sakshi Patil· Nov 11, 2024

    We added design-critique from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Sophia Martin· Oct 14, 2024

    Keeps context tight: design-critique is the kind of skill you can hand to a new teammate without a long onboarding doc.

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